Token usage scales linearly with traffic. If you do not manage your costs early, AI can quickly become your most expensive infrastructure bill. This guide outlines the most effective optimization strategies.
Optimization Tactics
Dynamic Precision: Use FP8 or INT8 quantization for inference. The loss in accuracy is often minimal but the speed-up is significant.
Model Distillation: Use large, expensive models to generate synthetic reasoning chains for smaller, cheaper models to train on.
Context Pruning: Implement "Summarization Agents" that condense the chat history before sending it to the model, saving hundreds of tokens per turn.
